Artificial Intelligence and Robotics

Robotic Process Automation and Artificial Intelligence are the technologies that underpin intelligent process automation.

Artificial Intelligence

Artificial Intelligence (AI) uses different techniques to mimic clerical tasks and decisions taken by staff and learns from experience. The application of AI allows tasks that are staff intensive to be processed more efficiently. Applied within business processes, artificial intelligence has the power to improve business processes by streamlining and automating workflow execution and decision-making.

Configuring an intelligent system that is able to read and understand semi-structured and unstructured documents and extract key information, allows businesses to maximise their potential. These systems recognise patterns as a natural consequence of processing data, resulting in continuous improvements in performance as well as reducing the need for manual intervention through improved quality. Processing unstructured data like emails, chat or social media messages by applying Artificial Intelligence leads to almost instantaneous benefits, improving accuracy significantly within the first 24 hours and a reduction of manual work by 75% within the first three months of implementation.

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Robotic Process Automation

Robotic Process Automation (RPA) describes software that automates manual, repetitive and rules-driven tasks that are often time-consuming and prone to error. So-called "virtual robots" can automate transactional tasks like entering and manipulating data, triggering responses, and communicating with other systems. RPA provides organisations with a rules-based workforce that interacts with existing user interfaces and mimics human actions to provide increased productivity and unconstrained scalability.

By applying Robotic Process Automation, structured documents and data are efficiently processed, databases are updated, and data is accurately recorded throughout front and back-office systems, in accordance with prevailing business rules.

  • Case Study

    Retail bank with 3 Million customers

    Learn how 750’000 yearly address changes of retail banking customers get processed with Robotic Process Automation.

    Read Case Study about Retail bank with 3 Million customers Read Case Study

  • Case Study

    Leading motor vehicle insurer

    Learn how Intelligent Automation correctly categorises 68% of all emails for insurance claims automation.

    Read Case Study about Leading motor vehicle insurer Read Case Study

  • Case Study

    Robotic Process Automation in Healthcare

    Learn how Robotic Process Automation reduced the processing of manual tasks by 60% for this health insurer.

    Read Case Study about Robotic Process Automation in Healthcare Read Case Study

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